Detail publikace

Evolutionary Approximation of Software for Embedded Systems: Median Function

MRÁZEK, V. VAŠÍČEK, Z. SEKANINA, L.

Originální název

Evolutionary Approximation of Software for Embedded Systems: Median Function

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper deals with genetic programming-based improvement of non-functional properties of programs intended for low-cost microcontrollers. As the objective is to significantly reduce power consumption and execution time, the approximate computing scenario is considered in which occasional errors in results are acceptable. The method is based on Cartesian genetic programming and evaluated in the task of approximation of 9-input and 25-input median function. Resulting approximations show a significant improvement in the execution time and power consumption with respect to the accurate median function while the observed errors are moderate.

Klíčová slova

Genetic Improvement; Genetic Programming; Cartesian Genetic Programming; Approximate Computing; Embedded Systems

Autoři

MRÁZEK, V.; VAŠÍČEK, Z.; SEKANINA, L.

Rok RIV

2015

Vydáno

3. 7. 2015

Nakladatel

Association for Computing Machinery

Místo

New York

ISBN

978-1-4503-3488-4

Kniha

GECCO Companion '15 Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference

Edice

ACM

Strany od

795

Strany do

801

Strany počet

7

URL

https://www.fit.vut.cz/research/publication/10852/

BibTex

@inproceedings{BUT119838,
  author="Vojtěch {Mrázek} and Zdeněk {Vašíček} and Lukáš {Sekanina}",
  title="Evolutionary Approximation of Software for Embedded Systems: Median Function",
  booktitle="GECCO Companion '15 Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference",
  year="2015",
  series="ACM",
  pages="795--801",
  publisher="Association for Computing Machinery",
  address="New York",
  doi="10.1145/2739482.2768416",
  isbn="978-1-4503-3488-4",
  url="https://www.fit.vut.cz/research/publication/10852/"
}